Senior Data Scientist - Industry Solutions Engineering in London

Do you enjoy solving problems, looking at problems through a different lens, and working closely with customers to innovate new solutions to complex problems? Do you jump with excitement at the opportunity to identify trends and provide unique business solutions? Do you want to join a team where learning about a new technology or solution is part of our work every day? Then, come join us!

The Industry Solutions Engineering (ISE) team is a global engineering organization that has operated Microsoft’s Forward Deployed Engineering function for over a decade, working directly with customers to co-engineer solutions to their toughest business challenges. We don’t build things and hand them over. We embed with customers, engineer side-by-side, and create real business value together.

We operate in small, multidisciplinary teams, enabling tight feedback loops and rapid iteration. Together, we build AI-powered, cloud-based solutions that deliver measurable business outcomes. Our work is powered by Hypervelocity Engineering (HVE), a methodology of applying AI across the full lifecycle to build and ship secure, production-ready solutions from day one, accelerating time to value without sacrificing quality, control, or trust.

We collaborate with Microsoft product teams, partners, and open-source communities to create reusable, high-impact solution patterns that contribute to the broader Microsoft platform. We are hiring a Senior Data Scientist to help drive high-impact engineering projects with our customers and their partners, transforming their missions using AI and other cloud-based solutions and services. Data scientists have data management and expertise in developing statistical techniques to analyze data and find patterns. You will be part of a cross-functional team of software engineers, data scientists, technical program managers, and designers who work side-by-side with high-impact and strategic customers and their engineers to build innovative solutions. As part of our team, you will thrive in working with a variety of technologies, not just Microsoft technology. You will solve exciting business problems, contribute to open source, and collaborate with Microsoft product teams.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Responsibilities

• You will acquire the data necessary for your project plan and develop usable data sets for modeling.
• You’ll also update internal best practices for data collection and preparation, and contribute to data integrity conversations with customers.
• You will evaluate your team’s models and recommend improvements as necessary, drive best practices for models, and develop operational models that run at scale.
• You’ll also conduct thorough reviews of data analysis and modeling techniques, and identify and invent new evaluation methods.
• You will research and maintain a deep knowledge of the industry, including trends and technologies, so that you can identify strategy opportunities and contribute to thought leadership best practices.
• You’ll also write extensible code that spans multiple features, and develop expertise in proper debugging techniques.
• You will define business, customer, and solution strategy goals, and partner with other teams to identify and explore new opportunities.
• You’ll also apply a customer-oriented focus to understand their needs, and help drive realistic customer expectations.
• You will embody our culture and values.

Qualifications

Required Qualifications

• Doctorate OR Master's Degree OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
• Enjoy travel and are comfortable with travel up to 25%

Additional or Preferred Qualifications (PQs)

• Experience working as part of geographically dispersed, diverse, and virtual teams

Our team prides itself on embracing a growth mindset, inspiring excellence, and encouraging everyone to share their unique viewpoints and be their authentic selves. Join us and help create life-changing innovations that impact billions around the world!

At Microsoft, we are seeking people who have a passion for the positive impact technology can have on communities and for making a difference in the world. Within ISE, you will find a wide range of backgrounds, perspectives, personal and cultural experiences which are vital to our success with our customers.

It’s an informal and flexible work environment and you’ll be welcome to work in the way that best enables you to get your job done.

We invest in your health, wellness, and financial future by offering a competitive package including a wide range of benefits built around your personal needs and those close to you.

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled. Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.